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Update README - Run 20251012_181608

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  1. README.md +16 -16
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  type: imagenet-1k
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  metrics:
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  - type: accuracy
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- value: 83.66
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  ---
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  # David: Multi-Scale Crystal Classifier
@@ -51,19 +51,19 @@ as class prototypes with role-weighted similarity computation (Rose Loss).
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  ## Performance
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  ### Best Results
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- - **Validation Accuracy**: 83.66%
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- - **Best Epoch**: 0
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- - **Final Train Accuracy**: 82.11%
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  ### Per-Scale Performance
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- - **Scale 384**: 83.27%
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- - **Scale 512**: 83.31%
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- - **Scale 768**: 83.59%
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- - **Scale 1024**: 83.50%
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- - **Scale 1280**: 83.66%
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- - **Scale 1536**: 83.51%
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- - **Scale 1792**: 83.40%
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- - **Scale 2048**: 83.60%
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  ## Usage
@@ -84,8 +84,8 @@ AbstractPhil/gated-david/
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  β”‚ └── 20251012_181608/
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  β”‚ β”œβ”€β”€ MODEL_SUMMARY.txt # 🎯 Human-readable performance summary
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  β”‚ β”œβ”€β”€ training_history.json # πŸ“ˆ Epoch-by-epoch training curve
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- β”‚ β”œβ”€β”€ best_model_acc83.66.safetensors # ⭐ Accuracy in filename!
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- β”‚ β”œβ”€β”€ best_model_acc83.66_metadata.json
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  β”‚ β”œβ”€β”€ final_model.safetensors
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  β”‚ β”œβ”€β”€ checkpoint_epoch_X_accYY.YY.safetensors
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  β”‚ β”œβ”€β”€ david_config.json
@@ -107,7 +107,7 @@ from huggingface_hub import hf_hub_download
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  # Specify model variant and run
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  model_name = "david_clip_vit_bigg14"
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  run_id = "20251012_181608"
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- accuracy = "83.66" # From MODELS_INDEX.json
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  # Download config
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  config_path = hf_hub_download(
@@ -213,4 +213,4 @@ Special thanks to Claude (Anthropic) for debugging assistance.
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  ---
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- *Generated on 2025-10-12 18:19:44*
 
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  type: imagenet-1k
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  metrics:
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  - type: accuracy
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+ value: 84.31
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  ---
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  # David: Multi-Scale Crystal Classifier
 
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  ## Performance
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  ### Best Results
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+ - **Validation Accuracy**: 84.31%
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+ - **Best Epoch**: 1
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+ - **Final Train Accuracy**: 87.16%
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  ### Per-Scale Performance
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+ - **Scale 384**: 83.96%
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+ - **Scale 512**: 84.16%
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+ - **Scale 768**: 84.10%
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+ - **Scale 1024**: 84.20%
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+ - **Scale 1280**: 84.31%
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+ - **Scale 1536**: 84.16%
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+ - **Scale 1792**: 84.13%
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+ - **Scale 2048**: 84.11%
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  ## Usage
 
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  β”‚ └── 20251012_181608/
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  β”‚ β”œβ”€β”€ MODEL_SUMMARY.txt # 🎯 Human-readable performance summary
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  β”‚ β”œβ”€β”€ training_history.json # πŸ“ˆ Epoch-by-epoch training curve
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+ β”‚ β”œβ”€β”€ best_model_acc84.31.safetensors # ⭐ Accuracy in filename!
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+ β”‚ β”œβ”€β”€ best_model_acc84.31_metadata.json
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  β”‚ β”œβ”€β”€ final_model.safetensors
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  β”‚ β”œβ”€β”€ checkpoint_epoch_X_accYY.YY.safetensors
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  β”‚ β”œβ”€β”€ david_config.json
 
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  # Specify model variant and run
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  model_name = "david_clip_vit_bigg14"
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  run_id = "20251012_181608"
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+ accuracy = "84.31" # From MODELS_INDEX.json
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  # Download config
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  config_path = hf_hub_download(
 
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  ---
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+ *Generated on 2025-10-12 18:23:33*